Kashyap A Patel

Kashyap A Patel

University of Exeter

H-index: 27

Europe-United Kingdom

About Kashyap A Patel

Kashyap A Patel, With an exceptional h-index of 27 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Exeter, specializes in the field of Diabetes.

His recent articles reflect a diverse array of research interests and contributions to the field:

Penetrance and expressivity of mitochondrial variants in a large clinically unselected population

Hyperglycaemia is a causal risk factor for upper limb pathologies

Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine: a systematic review and meta-analysis

The relationship between islet autoantibody status and the genetic risk of type 1 diabetes in adult-onset type 1 diabetes

Insights into the genetics of menopausal vasomotor symptoms: genome-wide analyses of routinely-collected primary care health records

Precision subclassification of type 2 diabetes: a systematic review

Whole genome sequencing analysis identifies rare, large-effect non-coding variants and regions associated with circulating protein levels

Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

Kashyap A Patel Information

University

University of Exeter

Position

___

Citations(all)

3231

Citations(since 2020)

2643

Cited By

1452

hIndex(all)

27

hIndex(since 2020)

27

i10Index(all)

41

i10Index(since 2020)

40

Email

University Profile Page

University of Exeter

Kashyap A Patel Skills & Research Interests

Diabetes

Top articles of Kashyap A Patel

Penetrance and expressivity of mitochondrial variants in a large clinically unselected population

Authors

Stuart J Cannon,Timothy Hall,Gareth Hawkes,Kevin Colclough,Roisin M Boggan,Caroline F Wright,Sarah J Pickett,Andrew T Hattersley,Michael N Weedon,Kashyap A Patel

Journal

Human Molecular Genetics

Published Date

2024/3/1

Whole genome sequencing (WGS) from large clinically unselected cohorts provides a unique opportunity to assess the penetrance and expressivity of rare and/or known pathogenic mitochondrial variants in population. Using WGS from 179 862 clinically unselected individuals from the UK Biobank, we performed extensive single and rare variant aggregation association analyses of 15 881 mtDNA variants and 73 known pathogenic variants with 15 mitochondrial disease-relevant phenotypes. We identified 12 homoplasmic and one heteroplasmic variant (m.3243A>G) with genome-wide significant associations in our clinically unselected cohort. Heteroplasmic m.3243A>G (MAF = 0.0002, a known pathogenic variant) was associated with diabetes, deafness and heart failure and 12 homoplasmic variants increased aspartate aminotransferase levels including three low-frequency variants (MAF ~0.002 and …

Hyperglycaemia is a causal risk factor for upper limb pathologies

Authors

Harry D Green,Ella Burden,Ji Chen,Jonathan Evans,Kashyap Patel,Andrew R Wood,Robin N Beaumont,Jessica Tyrrell,Timothy M Frayling,Andrew T Hattersley,Richard A Oram,Jack Bowden,Inês Barroso,Christopher Smith,Michael N Weedon

Journal

International Journal of Epidemiology

Published Date

2024/2/1

Background Diabetes (regardless of type) and obesity are associated with a range of musculoskeletal disorders. The causal mechanisms driving these associations are unknown for many upper limb pathologies. We used genetic techniques to test the causal link between glycemia, obesity and musculoskeletal conditions. Methods In the UK Biobank’s unrelated European cohort (N = 379 708) we performed mendelian randomisation (MR) analyses to test for a causal effect of long-term high glycaemia and adiposity on four musculoskeletal pathologies: frozen shoulder, Dupuytren’s disease, carpal tunnel syndrome and trigger finger. We also performed single-gene MR using rare variants in the GCK gene. Results Using MR, we found evidence that long-term high glycaemia has a causal role in the aetiology of upper limb conditions. A 10-mmol/mol …

Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine: a systematic review and meta-analysis

Authors

Siew Lim,Wubet Worku Takele,Kimberly K Vesco,Leanne M Redman,Wesley Hannah,Maxine P Bonham,Mingling Chen,Sian C Chivers,Andrea J Fawcett,Jessica A Grieger,Nahal Habibi,Gloria KW Leung,Kai Liu,Eskedar Getie Mekonnen,Maleesa Pathirana,Alejandra Quinteros,Rachael Taylor,Gebresilasea G Ukke,Shao J Zhou,Jami Josefson

Published Date

2023/10/5

BackgroundPrecision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention.MethodsWe searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022.ResultsFrom 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants …

The relationship between islet autoantibody status and the genetic risk of type 1 diabetes in adult-onset type 1 diabetes

Authors

Nicholas J Thomas,Helen C Walkey,Akaal Kaur,Shivani Misra,Nick S Oliver,Kevin Colclough,Michael N Weedon,Desmond G Johnston,Andrew T Hattersley,Kashyap A Patel

Journal

Diabetologia

Published Date

2023/2

Aims/hypothesisThe reason for the observed lower rate of islet autoantibody positivity in clinician-diagnosed adult-onset vs childhood-onset type 1 diabetes is not known. We aimed to explore this by assessing the genetic risk of type 1 diabetes in autoantibody-negative and -positive children and adults.MethodsWe analysed GAD autoantibodies, insulinoma-2 antigen autoantibodies and zinc transporter-8 autoantibodies (ZnT8A) and measured type 1 diabetes genetic risk by genotyping 30 type 1 diabetes-associated variants at diagnosis in 1814 individuals with clinician-diagnosed type 1 diabetes (1112 adult-onset, 702 childhood-onset). We compared the overall type 1 diabetes genetic risk score (T1DGRS) and non-HLA and HLA (DR3-DQ2, DR4-DQ8 and DR15-DQ6) components with autoantibody status in those with adult-onset and childhood-onset diabetes. We also measured the T1DGRS in 1924 individuals …

Insights into the genetics of menopausal vasomotor symptoms: genome-wide analyses of routinely-collected primary care health records

Authors

Katherine S Ruth,Robin N Beaumont,Jonathan M Locke,Jessica Tyrrell,Carolyn J Crandall,Gareth Hawkes,Timothy M Frayling,Julia K Prague,Kashyap A Patel,Andrew R Wood,Michael N Weedon,Anna Murray

Journal

BMC Medical Genomics

Published Date

2023/10/2

BackgroundVasomotor symptoms (VMS) can often significantly impact women’s quality of life at menopause. In vivo studies have shown that increased neurokinin B (NKB) / neurokinin 3 receptor (NK3R) signalling contributes to VMS, with previous genetic studies implicating the TACR3 gene locus that encodes NK3R. Large-scale genomic analyses offer the possibility of biological insights but few such studies have collected data on VMS, while proxy phenotypes such as hormone replacement therapy (HRT) use are likely to be affected by changes in clinical practice. We investigated the genetic basis of VMS by analysing routinely-collected health records.MethodsWe performed a GWAS of VMS derived from linked primary-care records and cross-sectional self-reported HRT use in up to 153,152 women from UK Biobank, a population-based cohort. In a subset of this cohort (n = 39,356), we analysed exome …

Precision subclassification of type 2 diabetes: a systematic review

Authors

Shivani Misra,Robert Wagner,Bige Ozkan,Martin Schön,Magdalena Sevilla-Gonzalez,Katsiaryna Prystupa,Caroline C Wang,Raymond J Kreienkamp,Sara J Cromer,Mary R Rooney,Daisy Duan,Anne Cathrine Baun Thuesen,Amelia S Wallace,Aaron Leong,Aaron J Deutsch,Mette K Andersen,Liana K Billings,Robert H Eckel,Wayne Huey-Herng Sheu,Torben Hansen,Norbert Stefan,Mark O Goodarzi,Debashree Ray,Elizabeth Selvin,Jose C Florez,James B Meigs,Miriam S Udler

Published Date

2023/10/5

BackgroundHeterogeneity in type 2 diabetes presentation and progression suggests that precision medicine interventions could improve clinical outcomes. We undertook a systematic review to determine whether strategies to subclassify type 2 diabetes were associated with high quality evidence, reproducible results and improved outcomes for patients.MethodsWe searched PubMed and Embase for publications that used ‘simple subclassification’ approaches using simple categorisation of clinical characteristics, or ‘complex subclassification’ approaches which used machine learning or ‘omics approaches in people with established type 2 diabetes. We excluded other diabetes subtypes and those predicting incident type 2 diabetes. We assessed quality, reproducibility and clinical relevance of extracted full-text articles and qualitatively synthesised a summary of subclassification approaches.ResultsHere we show …

Whole genome sequencing analysis identifies rare, large-effect non-coding variants and regions associated with circulating protein levels

Authors

Gareth Hawkes,Kartik Chundru,Leigh Jackson,Kashyap A Patel,Anna Murray,Andrew R Wood,Caroline R Wright,Michael N Weedon,Timothy M Frayling,Robin N Beaumont

Journal

bioRxiv

Published Date

2023

The role of non-coding rare variation in common phenotypes is largely unknown, due to a lack of whole-genome sequence data, and the difficulty of categorising non-coding variants into biologically meaningful regulatory units. To begin addressing these challenges, we performed a cis association analysis using whole-genome sequence data, consisting of 391 million variants and 1,450 circulating protein levels in ~20,000 UK Biobank participants. We identified 777 independent rare non-coding single variants associated with circulating protein levels (P<1x10-9), after conditioning on protein-coding and common associated variants. Rare non-coding aggregate testing identified 108 conditionally independent regulatory regions. Unlike protein-coding variation, rare non-coding genetic variation was almost as likely to increase as decrease protein levels. The regions we identified overlapped predicted tissue-specific enhancers more than promoters, suggesting they represent tissue-specific regulatory regions. Our results have important implications for the identification, and role, of rare non-coding variation associated with common human phenotypes.

Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

Authors

Deirdre K Tobias,Jordi Merino,Abrar Ahmad,Catherine Aiken,Jamie L Benham,Dhanasekaran Bodhini,Amy L Clark,Kevin Colclough,Rosa Corcoy,Sara J Cromer,Daisy Duan,Jamie L Felton,Ellen C Francis,Pieter Gillard,Véronique Gingras,Romy Gaillard,Eram Haider,Alice Hughes,Jennifer M Ikle,Laura M Jacobsen,Anna R Kahkoska,Jarno LT Kettunen,Raymond J Kreienkamp,Lee-Ling Lim,Jonna ME Männistö,Robert Massey,Niamh-Maire Mclennan,Rachel G Miller,Mario Luca Morieri,Jasper Most,Rochelle N Naylor,Bige Ozkan,Kashyap Amratlal Patel,Scott J Pilla,Katsiaryna Prystupa,Sridharan Raghavan,Mary R Rooney,Martin Schön,Zhila Semnani-Azad,Magdalena Sevilla-Gonzalez,Pernille Svalastoga,Wubet Worku Takele,Claudia Ha-ting Tam,Anne Cathrine B Thuesen,Mustafa Tosur,Amelia S Wallace,Caroline C Wang,Jessie J Wong,Jennifer M Yamamoto,Katherine Young,Chloé Amouyal,Mette K Andersen,Maxine P Bonham,Mingling Chen,Feifei Cheng,Tinashe Chikowore,Sian C Chivers,Christoffer Clemmensen,Dana Dabelea,Adem Y Dawed,Aaron J Deutsch,Laura T Dickens,Linda A DiMeglio,Monika Dudenhöffer-Pfeifer,Carmella Evans-Molina,María Mercè Fernández-Balsells,Hugo Fitipaldi,Stephanie L Fitzpatrick,Stephen E Gitelman,Mark O Goodarzi,Jessica A Grieger,Marta Guasch-Ferré,Nahal Habibi,Torben Hansen,Chuiguo Huang,Arianna Harris-Kawano,Heba M Ismail,Benjamin Hoag,Randi K Johnson,Angus G Jones,Robert W Koivula,Aaron Leong,Gloria KW Leung,Ingrid M Libman,Kai Liu,S Alice Long,William L Lowe Jr,Robert W Morton,Ayesha A Motala,Suna Onengut-Gumuscu,James S Pankow,Maleesa Pathirana,Sofia Pazmino,Dianna Perez,John R Petrie,Camille E Powe,Alejandra Quinteros,Rashmi Jain,Debashree Ray,Mathias Ried-Larsen,Zeb Saeed,Vanessa Santhakumar,Sarah Kanbour,Sudipa Sarkar,Gabriela SF Monaco,Denise M Scholtens,Elizabeth Selvin,Wayne Huey-Herng Sheu,Cate Speake,Maggie A Stanislawski,Nele Steenackers,Andrea K Steck,Norbert Stefan,Julie Støy,Rachael Taylor,Sok Cin Tye,Gebresilasea Gendisha Ukke,Marzhan Urazbayeva,Bart Van der Schueren,Camille Vatier,John M Wentworth,Wesley Hannah,Sara L White,Gechang Yu,Yingchai Zhang,Shao J Zhou,Jacques Beltrand,Michel Polak,Ingvild Aukrust,Elisa de Franco,Sarah E Flanagan,Kristin A Maloney,Andrew McGovern,Janne Molnes,Mariam Nakabuye,Pål Rasmus Njølstad,Hugo Pomares-Millan,Michele Provenzano,Cécile Saint-Martin,Cuilin Zhang,Yeyi Zhu,Sungyoung Auh,Russell de Souza,Andrea J Fawcett,Chandra Gruber,Eskedar Getie Mekonnen,Emily Mixter,Diana Sherifali,Robert H Eckel,John J Nolan

Published Date

2023/10

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of …

Impact of individual and environmental factors on dietary or lifestyle interventions to prevent type 2 diabetes development: a systematic review

Authors

Dhanasekaran Bodhini,Robert W Morton,Vanessa Santhakumar,Mariam Nakabuye,Hugo Pomares-Millan,Christoffer Clemmensen,Stephanie L Fitzpatrick,Marta Guasch-Ferre,James S Pankow,Mathias Ried-Larsen,Paul W Franks,Deirdre K Tobias,Jordi Merino,Viswanathan Mohan,Ruth JF Loos

Published Date

2023/10/5

BackgroundThe variability in the effectiveness of type 2 diabetes (T2D) preventive interventions highlights the potential to identify the factors that determine treatment responses and those that would benefit the most from a given intervention. We conducted a systematic review to synthesize the evidence to support whether sociodemographic, clinical, behavioral, and molecular factors modify the efficacy of dietary or lifestyle interventions to prevent T2D.MethodsWe searched MEDLINE, Embase, and Cochrane databases for studies reporting on the effect of a lifestyle, dietary pattern, or dietary supplement interventions on the incidence of T2D and reporting the results stratified by any effect modifier. We extracted relevant statistical findings and qualitatively synthesized the evidence for each modifier based on the direction of findings reported in available studies. We used the Diabetes Canada Clinical Practice Scale to …

Incretin hormone responses to carbohydrate and protein/fat are preserved in adults with sulfonylurea‐treated KCNJ11 neonatal diabetes

Authors

Pamela Bowman,Kashyap A Patel,Timothy J McDonald,Jens J Holst,Bolette Hartmann,Maria Leveridge,Beverley M Shields,Suzie Hammersley,Steve R Spaull,Bridget A Knight,Sarah E Flanagan,Maggie H Shepherd,Rob C Andrews,Andrew T Hattersley

Journal

Journal of Diabetes Investigation

Published Date

2023/12

The incretin hormones glucagon‐like peptide‐1 (GLP‐1) and glucose‐dependent insulinotropic polypeptide (GIP), are thought to be the main drivers of insulin secretion in individuals with sulfonylurea (SU)‐treated KCNJ11 permanent neonatal diabetes. The aim of this study was to assess for the first time the incretin hormone response to carbohydrate and protein/fat in adults with sulfonylurea‐treated KCNJ11 permanent neonatal diabetes compared with that of controls without diabetes. Participants were given a breakfast high in carbohydrate and an isocaloric breakfast high in protein/fat on two different mornings. Incremental area under the curve and total area under the curve (0‐240 minutes) for total GLP‐1 and GIP were compared between groups, using non‐parametric statistical methods. Post‐meal GLP‐1 and GIP secretion were similar in cases and controls, suggesting this process is adenosine triphosphate …

Recurrent 17q12 microduplications contribute to renal disease but not diabetes

Authors

Stuart Cannon,Rhian Clissold,Kittiya Sukcharoen,Marcus Tuke,Gareth Hawkes,Robin N Beaumont,Andrew R Wood,Mark Gilchrist,Andrew T Hattersley,Richard A Oram,Kashyap Patel,Caroline Wright,Michael N Weedon

Journal

Journal of Medical Genetics

Published Date

2023/5/1

Background17q12 microdeletion and microduplication syndromes present as overlapping, multisystem disorders. We assessed the disease phenotypes of individuals with 17q12 CNV in a population-based cohort.MethodsWe investigated 17q12 CNV using microarray data from 450 993 individuals in the UK Biobank and calculated disease status associations for diabetes, liver and renal function, neurological and psychiatric traits.ResultsWe identified 11 17q12 microdeletions and 106 microduplications. Microdeletions were strongly associated with diabetes (p=2×10−7) but microduplications were not. Estimated glomerular filtration rate (eGFR mL/min/1.73 m2) was consistently lower in individuals with microdeletions (p=3×10−12) and microduplications (p=6×10−25). Similarly, eGFR <60, including end-stage renal disease, was associated with microdeletions (p=2×10−9, p<0.003) and microduplications (p=1×10−9 …

Disease-modifying therapies and features linked to treatment response in type 1 diabetes prevention: a systematic review

Authors

Jamie L Felton,Kurt J Griffin,Richard A Oram,Cate Speake,S Alice Long,Suna Onengut-Gumuscu,Stephen S Rich,Gabriela SF Monaco,Carmella Evans-Molina,Linda A DiMeglio,Heba M Ismail,Andrea K Steck,Dana Dabelea,Randi K Johnson,Marzhan Urazbayeva,Stephen Gitelman,John M Wentworth,Maria J Redondo,Emily K Sims

Published Date

2023/10/5

BackgroundType 1 diabetes (T1D) results from immune-mediated destruction of insulin-producing beta cells. Prevention efforts have focused on immune modulation and supporting beta cell health before or around diagnosis; however, heterogeneity in disease progression and therapy response has limited translation to clinical practice, highlighting the need for precision medicine approaches to T1D disease modification.MethodsTo understand the state of knowledge in this area, we performed a systematic review of randomized-controlled trials with 50 participants cataloged in PubMed or Embase from the past 25 years testing T1D disease-modifying therapies and/or identifying features linked to treatment response, analyzing bias using a Cochrane-risk-of-bias instrument.ResultsWe identify and summarize 75 manuscripts, 15 describing 11 prevention trials for individuals with increased risk for T1D, and 60 …

The Role of ONECUT1 Variants in Monogenic and Type 2 Diabetes Mellitus

Authors

James Russ-Silsby,Kashyap A Patel,Thomas W Laver,Gareth Hawkes,Matthew B Johnson,Matthew N Wakeling,Prashant P Patil,Andrew T Hattersley,Sarah E Flanagan,Michael N Weedon,Elisa De Franco

Journal

Diabetes

Published Date

2023/11/1

ONECUT1 (also known as HNF6) is a transcription factor involved in pancreatic development and β-cell function. Recently, biallelic variants in ONECUT1 were reported as a cause of neonatal diabetes mellitus (NDM) in two subjects, and missense monoallelic variants were associated with type 2 diabetes and possibly maturity-onset diabetes of the young (MODY). Here we examine the role of ONECUT1 variants in NDM, MODY, and type 2 diabetes in large international cohorts of subjects with monogenic diabetes and >400,000 subjects from UK Biobank. We identified a biallelic frameshift ONECUT1 variant as the cause of NDM in one individual. However, we found no enrichment of missense or null ONECUT1 variants among 484 individuals clinically suspected of MODY, in whom all known genes had been excluded. Finally, using a rare variant burden test in the UK Biobank European cohort, we …

Exocrine proteins including trypsin (ogen) as a key biomarker in type 1 diabetes

Authors

Lilianna Bakinowska,Tanwi Vartak,Thato Phuthego,Michelle Taylor,Kyla Chandler,Samual T Jerram,Steven Williams,Marc Feldmann,Desmond G Johnson,Kashyap A Patel,Alistair JK Williams,Anna E Long,R David Leslie,Kathleen M Gillespie,BOX Study Group Wilson Isabel Aitken Rachel Megson Clare Ballav Chitrabhanu Dutta Atanu Russell-Taylor Michelle Besser Rachel Bursell James Chandran Shanthi Patel Sejal Smith Anne Kenchaiah Manohara Margabanthu Gomathi Kavvoura Foteini Yaliwal Chandan

Journal

Diabetes Care

Published Date

2023/4/1

OBJECTIVE Proteomic profiling can identify useful biomarkers. Monozygotic (MZ) twins discordant for a condition represent an ideal test population. We aimed to investigate and validate proteomic profiling in twins with type 1 diabetes and in other well-characterized cohorts. RESEARCH DESIGN AND METHODS A broad, multiplex analysis of 4,068 proteins in serum samples from MZ twins concordant (n = 43) and discordant (n = 27) for type 1 diabetes identified major differences that were subsequently validated by a trypsin(ogen) assay in MZ pairs concordant (n = 39) and discordant (n = 42) for type 1 diabetes, individuals at risk for (n = 195) and with (n = 990) type 1 diabetes, as well as individuals with non–insulin-requiring adult-onset diabetes diagnosed as either autoimmune (n = 96) or type 2 (n = 291). RESULTS Proteomic analysis identified major …

The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion

Authors

Rinki Murphy,Kevin Colclough,Toni I Pollin,Jennifer M Ikle,Pernille Svalastoga,Kristin A Maloney,Cécile Saint-Martin,Janne Molnes,Shivani Misra,Ingvild Aukrust,Elisa de Franco,Sarah E Flanagan,Pål R Njølstad,Liana K Billings,Katharine R Owen,Anna L Gloyn

Published Date

2023/10/5

BackgroundMonogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field.MethodsPubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for …

Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review

Authors

Laura M Jacobsen,Jennifer L Sherr,Elizabeth Considine,Angela Chen,Sarah M Peeling,Margo Hulsmans,Sara Charleer,Marzhan Urazbayeva,Mustafa Tosur,Selma Alamarie,Maria J Redondo,Korey K Hood,Peter A Gottlieb,Pieter Gillard,Jessie J Wong,Irl B Hirsch,Richard E Pratley,Lori M Laffel,Chantal Mathieu

Published Date

2023/10/5

BackgroundThe greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care.MethodsScreening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years).ResultsWe find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk …

Hyperinsulinemic Hypoglycemia Diagnosed in Childhood Can Be Monogenic

Authors

Jasmin J Hopkins,Alexandra J Childs,Jayne AL Houghton,Thomas I Hewat,Navoda Atapattu,Matthew B Johnson,Kashyap A Patel,Thomas W Laver,Sarah E Flanagan

Journal

The Journal of Clinical Endocrinology & Metabolism

Published Date

2023/3/1

Context Congenital hyperinsulinism (HI) is characterized by inappropriate insulin secretion despite low blood glucose. Persistent HI is often monogenic, with the majority of cases diagnosed in infancy. Less is known about the contribution of monogenic forms of disease in those presenting in childhood. Objective We investigated the likelihood of finding a genetic cause in childhood-onset HI and explored potential factors leading to later age at presentation of disease. Methods We screened known disease-causing genes in 1848 individuals with HI, referred for genetic testing as part of routine clinical care. Individuals were classified as infancy-onset (diagnosed with HI < 12 months of age) or childhood-onset (diagnosed at age 1-16 years). We assessed clinical characteristics and the genotypes of individuals with monogenic HI diagnosed in childhood to gain …

Genotype-stratified treatment for monogenic insulin resistance: a systematic review

Authors

Robert K Semple,Kashyap A Patel,Sungyoung Auh,Rebecca J Brown

Published Date

2023/10/5

BackgroundMonogenic insulin resistance (IR) includes lipodystrophy and disorders of insulin signalling. We sought to assess the effects of interventions in monogenic IR, stratified by genetic aetiology.MethodsSystematic review using PubMed, MEDLINE and Embase (1 January 1987 to 23 June 2021). Studies reporting individual-level effects of pharmacologic and/or surgical interventions in monogenic IR were eligible. Individual data were extracted and duplicates were removed. Outcomes were analysed for each gene and intervention, and in aggregate for partial, generalised and all lipodystrophy.Results10 non-randomised experimental studies, 8 case series, and 23 case reports meet inclusion criteria, all rated as having moderate or serious risk of bias. Metreleptin use is associated with the lowering of triglycerides and haemoglobin A1c (HbA1c) in all lipodystrophy (n = 111), partial (n = 71) and generalised …

Syndromic monogenic diabetes genes should be tested in patients with a clinical suspicion of maturity-onset diabetes of the young

Authors

Kevin Colclough,Sian Ellard,Andrew Hattersley,Kashyap Patel

Journal

Diabetes

Published Date

2022/3/1

At present, outside of infancy, genetic testing for monogenic diabetes is typically for mutations in maturity-onset diabetes of the young (MODY) genes that predominantly result in isolated diabetes. Monogenic diabetes syndromes are usually only tested for when supported by specific syndromic clinical features. How frequently patients with suspected MODY have a mutation in a monogenic syndromic diabetes gene is unknown and thus missed by present testing regimes. We performed genetic testing of 27 monogenic diabetes genes (including 18 associated with syndromic diabetes) for 1,280 patients with a clinical suspicion of MODY who were not suspected of having monogenic syndromic diabetes. We confirmed monogenic diabetes in 297 (23%) patients. Mutations in seven different syndromic diabetes genes accounted for 19% (95% CI 15–24%) of all monogenic diabetes. The mitochondrial m.3243A>G and …

An update on the diagnosis and management of monogenic diabetes

Authors

Kevin Colclough,Rachel van Heugten,Kashyap Patel

Journal

Practical Diabetes

Published Date

2022/7

Initiated in 2000, the NHS‐funded genetic testing service for monogenic diabetes at the Exeter Genomics Laboratory, Royal Devon & Exeter Hospital, is the sole national provider for this service in England. The laboratory has undertaken testing for over 19,000 families and has diagnosed monogenic diabetes in over 9500 patients from the UK and across the world. Dr Kevin Colclough and colleagues here provide an insight into how genetic diagnostic testing leads to improved clinical care, how advances in testing technology are causing a paradigm shift in diagnosis, and how changes to test provision and funding are leading to the mainstreaming of genetic diagnosis in routine diabetes clinics.

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Kashyap A Patel FAQs

What is Kashyap A Patel's h-index at University of Exeter?

The h-index of Kashyap A Patel has been 27 since 2020 and 27 in total.

What are Kashyap A Patel's top articles?

The articles with the titles of

Penetrance and expressivity of mitochondrial variants in a large clinically unselected population

Hyperglycaemia is a causal risk factor for upper limb pathologies

Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine: a systematic review and meta-analysis

The relationship between islet autoantibody status and the genetic risk of type 1 diabetes in adult-onset type 1 diabetes

Insights into the genetics of menopausal vasomotor symptoms: genome-wide analyses of routinely-collected primary care health records

Precision subclassification of type 2 diabetes: a systematic review

Whole genome sequencing analysis identifies rare, large-effect non-coding variants and regions associated with circulating protein levels

Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

...

are the top articles of Kashyap A Patel at University of Exeter.

What are Kashyap A Patel's research interests?

The research interests of Kashyap A Patel are: Diabetes

What is Kashyap A Patel's total number of citations?

Kashyap A Patel has 3,231 citations in total.

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